Skip to content

Magnus0969/GDP-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

8 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

πŸ“Š GDP Analysis

πŸ“Œ Overview

This repository contains an in-depth analysis of Gross Domestic Product (GDP) trends using data science techniques. The project explores GDP growth patterns, economic indicators, and their impact on global and regional economies.

πŸ›  Technologies Used

  • Python 🐍
  • Pandas πŸ“Š
  • NumPy πŸ”’
  • Plotly πŸ“‰
  • Jupyter Notebook πŸ“’

πŸ“ˆ Key Features

  • Data preprocessing and cleaning
  • Exploratory Data Analysis (EDA)
  • Statistical insights and visualizations
  • Correlation analysis between GDP and economic indicators
  • Predictive modelling using regression techniques

πŸ“Š Visualizations

Here are some insights visualized from the dataset:

Sample GDP Visualization

πŸ”— Click here to view the interactive visualization.

πŸš€ Getting Started

1️⃣ Clone the Repository

git clone https://github.com/Magnus0969/GDP-Analysis.git
cd GDP-Analysis

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run Jupyter Notebook

jupyter notebook

πŸ“¬ Contact

For any questions or collaborations, feel free to reach out on LinkedIn.


Made with ❀️ by Karthik B Magadi

About

An in-depth exploration of global GDP trends using Python and data science techniques. This project involves data preprocessing, exploratory data analysis (EDA), statistical insights, and interactive visualizations to understand economic patterns and correlations.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors